To implement new & emerging technologies to support data-driven decisionmaking To collaborate with policymakers, academic insitutions and stakeholders to develop smart, socially just and healthy cities To serve as a resource for Bloustein masters programs
Anonymized cell phone location data used to track visits to public spaces in NJ towns and counties Report by Dean Thakuriah covered movement patterns during height of lockdown
During March shutdown, visits fell 80% compared to beginning of the month Northern and central counties had greatest decline People spent more time and travelled farther to stores, stocking up at the start of the pandemic Differences in food shopping apparent in areas with greater poverty Future report will examine how NJ reopened from May to present.
Dashboard created by Bloustein MPI / MCRP dual degree student Haoyun Wang as part of internship with RUCI Tracks visits by ZIP code with comparisons to 2019 levels Identified top brands for visits during the pandemic
Linking COVID-19 data with census, social media and transit data 11.5 million rows of data collected Data Use Agreement signed with NYC to obtain more granular case / death data Machine learning and modeling will be used to uncover trends in environmental factors impacting the spread of COVID.
We currently work with MPI, MCRP and MPP students R, Python and Linux experience is highly desirable Future opportunities to get involved will be announced soon